Ming Tian

1.8k citations
45 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
MicroRNA in disease regulation (8 papers)Extracellular vesicles in disease (8 papers)Genomics, phytochemicals, and oxidative stress (4 papers)

In The Last Decade

Ming Tian

43 papers receiving 1.5k citations

Hit Papers

Extracellular vesicle-based drug delivery systems for can...20192026202120232019100200300

Peers

Ming Tian
Comparison fields: 5 of 122
  • Molecular Biology 663
  • Food Science 288
  • Biomedical Engineering 270
  • Cancer Research 263
  • Plant Science 238
Replace Hongtao Tian with:
Hongtao Tian China
Chunli Kong China
Ying Zhao China
Yuhua Wang China
Kenji Osawa Japan
Jieun Jung South Korea
Miao Li China
Sumel Ashique India
Fabio Galeotti Italy
Ming Tian relative to Hongtao Tian China Hongtao Tian's profile →
Citations per field
00.5×1.5×2.4×
Hongtao Tian · 1×
Citations per year

Countries citing papers authored by Ming Tian

Since Specialization
Citations

This map shows the geographic impact of Ming Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tian more than expected).

Fields of papers citing papers by Ming Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Tian. The network helps show where Ming Tian may publish in the future.

Co-authorship network of co-authors of Ming Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tian. A scholar is included among the top collaborators of Ming Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Tian. Ming Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 1
6 5
7 1
8 4
9 6
10 27
11 8
12 7
13 6
14 78
15
Extracellular vesicle-based drug delivery systems for cancer treatmentbreakdown →
350
16 45
17
Hepatocyte Growth Factor Signaling Pathway as a Potential Target in Ductal Adenocarcinoma of the Pancreas
1
18 44
19 106
20 51

About Ming Tian

Ming Tian is a scholar working on Cancer Research, Nutrition and Dietetics and Molecular Biology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Extracellular vesicles in disease (8 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Cancer Research (263 citations), Biomaterials (228 citations) and Food Science (288 citations). Ming Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Siyi Pan, Hao Hu, Eunice C.Y. Li‐Chan, Li Wan, Joy Wolfram, Sara Busatto, Sierra A. Walker, Anthony Pham, Xin Fan and Yue Gao. Their work appears in journals such as Nucleic Acids Research, Nature Communications and ACS Nano.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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